Improving the scalability of geo-replication with reservations

Abstract : Geo-replicated systems improve performance and fault tolerance by replicating data on sites in different physical locations. These systems often eschew guaranteeing strong consistency because of performance loss and scalability and instead choose eventually consistency. Although eventual consistency improves performance especially in large scale but it might violate system invariants. In this work, we exploit reservation techniques to strengthen eventual consistency, by adding safety guarantees. We define a consistency model called RPB that takes the advantages of eventual consistency while providing stronger guarantees, including causality and safety properties.
Type de document :
Communication dans un congrès
DCC 2013 : Workshop on Distributed Cloud Computing, Dec 2013, Dresden, Germany. IEEE Computer Society, pp.441-445, 2013, 〈10.1109/UCC.2013.87〉
Liste complète des métadonnées

Littérature citée [9 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00932657
Contributeur : Marc Shapiro <>
Soumis le : vendredi 17 janvier 2014 - 14:46:47
Dernière modification le : vendredi 25 mai 2018 - 12:02:03
Document(s) archivé(s) le : vendredi 18 avril 2014 - 11:37:06

Fichier

escrow-DCC-2013.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Mahsa Najafzadeh, Marc Shapiro, Valter Balegas, Nuno Preguiça. Improving the scalability of geo-replication with reservations. DCC 2013 : Workshop on Distributed Cloud Computing, Dec 2013, Dresden, Germany. IEEE Computer Society, pp.441-445, 2013, 〈10.1109/UCC.2013.87〉. 〈hal-00932657〉

Partager

Métriques

Consultations de la notice

274

Téléchargements de fichiers

156